1.7k citations · 3.3k across the 42 of their papers we have counts for
3 papers · 1 filter
Differentially Private Model Selection with Penalized and Constrained Likelihood
Jing Lei, Anne-Sophie Charest, Aleksandra Slavkovic +2
In statistical disclosure control, the goal of data analysis is twofold: The released information must provide accurate and useful statistics about the underlying population of int…
When is Nontrivial Estimation Possible for Graphons and Stochastic Block Models?
Audra McMillan, Adam Smith
Block graphons (also called stochastic block models) are an important and widely-studied class of models for random networks. We provide a lower bound on the accuracy of estimators…
Max-Information, Differential Privacy, and Post-Selection Hypothesis Testing
Ryan Rogers, Aaron Roth, Adam Smith +1
In this paper, we initiate a principled study of how the generalization properties of approximate differential privacy can be used to perform adaptive hypothesis testing, while giv…